Artificial Intelligence for Smart Grid Optimization: Review on Stability, Renewables, Forecasting, Power Quality, and Fault-Tolerant Operations

The rapid growth of renewable energy integration introduces challenges of stability, reliability, and power quality in modern power systems. Artificial Intelligence (AI), including Machine Learning (ML) and Deep Learning (DL), has emerged as a key ena

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Publication Details

Published
2025-09-25
DOI
https://doi.org/10.36227/techrxiv.175877881.12686378/v1
Primary Topic
Energy Load and Power Forecasting
Type
article
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article

Artificial Intelligence for Smart Grid Optimization: Review on Stability, Renewables, Forecasting, Power Quality, and Fault-Tolerant Operations

Mehmil Zahra
Energy Load and Power Forecasting
article

Artificial Intelligence for Smart Grid Optimization: Review on Stability, Renewables, Forecasting, Power Quality, and Fault-Tolerant Operations

Mehmil Zahra
article en

Abstract

The rapid growth of renewable energy integration introduces challenges of stability, reliability, and power quality in modern power systems. Artificial Intelligence (AI), including Machine Learning (ML) and Deep Learning (DL), has emerged as a key ena

University of Kashmir (IN)
Openalex Percentile: Top 74%
Energy Load and Power Forecasting
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Artificial Intelligence for Smart Grid Optimization: Review on Stability, Renewables, Forecasting, Power Quality, and Fault-Tolerant Operations — Mehmil Zahra · (2025) | TGRS Research Map | TGRS